New procedure calculation of K-shell ionization cross sections by proton impact

Kahoul, A.; Deghfel, B.; Abdellatif, A.; Nekkab, M.

doi:10.1016/j.radphyschem.2011.06.016

Cited by 13 publications

(6 citation statements)

References 34 publications

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“…Since the first half of the 20 th century, hundreds of papers regarding the measurement of X-ray production cross sections (XRPCS) and derived ionization cross sections (ICS) have been published. This includes K-, L-and M-Xrays [3][4][5][6][7]. Furthermore, many efforts have been dedicated to develop theories that describe appropriately those phenomena [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

How do Uncertainties in Atomic Parameters Influence Theoretical Predictions of X-Ray Production Cross Sections By Proton Impact?

Miranda

2020

J. Nucl. Phy. Mat. Sci. Rad. A.

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The emission of characteristic X-rays induced by proton impact is a phenomenon known since the first half of the 20th century. Its more widely known application is the analytical technique Particle Induced X-ray Emission (PIXE). Several models have been developed to calculate, first, ionization cross sections and then the subsequent X-ray production cross sections. However, to carry out the comparisons of these predictions with experimental data it is necessary to use atomic parameters databases (fluorescence yields, Coster-Kronig transition probabilities, emission rates) that also have experimental uncertainties. In this work it is demonstrated how these values do not allow to decide which model describes more accurately the cross sections, due to a final “theoretical uncertainty” obtained through the propagation of the original uncertainties.

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Section: Introductionmentioning

confidence: 99%

How do Uncertainties in Atomic Parameters Influence Theoretical Predictions of X-Ray Production Cross Sections By Proton Impact?

Miranda

2020

J. Nucl. Phy. Mat. Sci. Rad. A.

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“…Despite these approaches, the theoretical predictions deviate significantly, especially at low energies, from the experimental values. This motivated us to try, after a first attempt on the semiempirical cross section [6], to deduce an empirical cross section taking into account the universal trend of the experimental data for the collective treatment [7][8][9][10] and their spread to introduce the dependence of M-shell X-ray production cross section on the atomic number of the target (Z-dependence).…”

Section: Introductionmentioning

confidence: 99%

Empirical M X-ray production cross sections for heavy elements by proton impact within Z-dependence analysis

Deghfel¹,

Khalfallah²,

Kahoul³

et al. 2015

Turk J Phys

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New empirical M-shell X-ray production cross sections have been deduced by introducing the dependence of the universal trend of the experimental data on the atomic number of the target, noted as "Z-dependence" for semiempirical cross sections in our previous work. For this effect, the updated experimental data (from 1980 to 2009) are used to calculate the empirical cross sections for heavy elements with 60 ≤ Z ≤ 90 by proton impact. Finally, a comparison is made between the deduced results and other earlier works.

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“…. 2.7 Relative deviations between the ionization cross section of different fitted polynomials [40], [41] and [42] and the ionization cross section calculated by the ECPSSR theory [39] compared to photoelectric cross section of 5.9 keV, 22 keV and 60keV X-rays beam as a function of the K α line of the correspondent element. Data taken from [41] and [51]…”

Section: Fitted Cross Sections On Experimental Values In the Form σUmentioning

confidence: 99%

“…The first experimental fit was proposed by Johansson in [40], having the advantage that it is valid for all elements. Subsequently, values of d k have been parameterized as a function of the atomic number, as in [41], or [42]. This last reference is shown in figure 2.6.…”

Section: X-ray Cross Section By Protonsmentioning

confidence: 99%

“…K vs E p /λu K for different atoms. Figured taken from [42] Figure 2.7: Relative deviations between the ionization cross section of different fitted polynomials [40], [41] and [42] and the ionization cross section calculated by the ECPSSR theory [39] for 2 MeV protons as a function of the K α energy of the correspondent atom.…”

Section: X-ray Cross Section By Protonsmentioning

confidence: 99%

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Avaliação crítica da quantificação elementar (incluindo hidrogênio, carbono e oxigênio) por emissão de raios-X induzidos por prótons, PIXE, e por fluorescência de raios-X, XRF

Arteta¹

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Among various analytical techniques, X-Ray Fluorescence (XRF) and Particle-Induced X-Ray Emission (PIXE) allow a highly sensitive, multi-elementary analysis, traditionally used in areas dealing with thin films, mineral, geological, archaeological and biological samples, etc. PIXE and XRF techniques allow quantifying the elemental composition of a sample measuring their characteristic X-rays. In thick homogeneous samples, the determination of the elemental mass concentrations requires prior knowledge of several parameters involved in the interaction of radiation with matter, such as the proton stopping power in the sample for PIXE and the X-ray mass absorption coefficients for both PIXE and XRF, which in turn depend on the elemental concentrations of the sample. In this work we will review and evaluate different methods for determining the mass concentrations that have been developed over the years, obtaining good accuracy in most cases, especially with geological and mineral samples. In samples with low-Z elements, like H, B, C, N, O and/or F, not detected in PIXE nor XRF, the methods to determine elemental concentrations do not have the same level of accuracy, except for major elements. Knowing the concentrations of these major elements, we can extract information of the undetected elements in the samples. We suggest a method for determining the concentrations of trace elements based on the knowledge of at least two major elements, constructing an equivalent sample-matrix constituted by hydrogen, carbon and oxygen with the same X-ray mass absorption coefficients and proton stopping power of the original sample-matrix made of hydrogen, carbon, nitrogen and oxygen, which are the major elements in biological and organic samples. Hence, the trace elements of the sample can be fully analyzed with an accuracy better than 1%. In PIXE analysis, under certain conditions, numerical calculations on thick and homogeneous samples show that on common materials, it is possible to retrieve the hydrogen amount in the sample with acceptable accuracy. The calculation of the uncertainties indicates that the method of determining hydrogen is quite sensitive to instrumental uncertainties, stressing the need for more precise PIXE measurements. A generalization of the method is also considered for all kinds of low-Z sample-matrix, not only biological or organic, having accuracies lower than 10%. Other applications and limitations are also discussed.

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New procedure calculation of K-shell ionization cross sections by proton impact

Cited by 13 publications

References 34 publications

How do Uncertainties in Atomic Parameters Influence Theoretical Predictions of X-Ray Production Cross Sections By Proton Impact?

How do Uncertainties in Atomic Parameters Influence Theoretical Predictions of X-Ray Production Cross Sections By Proton Impact?

Empirical M X-ray production cross sections for heavy elements by proton impact within Z-dependence analysis

Avaliação crítica da quantificação elementar (incluindo hidrogênio, carbono e oxigênio) por emissão de raios-X induzidos por prótons, PIXE, e por fluorescência de raios-X, XRF

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